CN111762174B - Vehicle control device, vehicle control method, and storage medium - Google Patents

Vehicle control device, vehicle control method, and storage medium Download PDF

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Publication number
CN111762174B
CN111762174B CN202010195312.8A CN202010195312A CN111762174B CN 111762174 B CN111762174 B CN 111762174B CN 202010195312 A CN202010195312 A CN 202010195312A CN 111762174 B CN111762174 B CN 111762174B
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vehicle
stop position
user
unit
stop
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CN111762174A (en
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照田八州志
野口顺平
原悠记
田口龙马
高田雄太
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Honda Motor Co Ltd
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Honda Motor Co Ltd
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/0088Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/08Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W50/00Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
    • B60W50/08Interaction between the driver and the control system
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B62LAND VEHICLES FOR TRAVELLING OTHERWISE THAN ON RAILS
    • B62DMOTOR VEHICLES; TRAILERS
    • B62D15/00Steering not otherwise provided for
    • B62D15/02Steering position indicators ; Steering position determination; Steering aids
    • B62D15/027Parking aids, e.g. instruction means
    • B62D15/0285Parking performed automatically
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
    • G05D1/02Control of position or course in two dimensions
    • G05D1/021Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0212Control of position or course in two dimensions specially adapted to land vehicles with means for defining a desired trajectory
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/10Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
    • G06V40/16Human faces, e.g. facial parts, sketches or expressions
    • G06V40/161Detection; Localisation; Normalisation
    • G06V40/167Detection; Localisation; Normalisation using comparisons between temporally consecutive images
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V40/00Recognition of biometric, human-related or animal-related patterns in image or video data
    • G06V40/20Movements or behaviour, e.g. gesture recognition

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Mechanical Engineering (AREA)
  • Transportation (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Aviation & Aerospace Engineering (AREA)
  • Psychiatry (AREA)
  • Social Psychology (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Oral & Maxillofacial Surgery (AREA)
  • Business, Economics & Management (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Game Theory and Decision Science (AREA)
  • Medical Informatics (AREA)
  • Combustion & Propulsion (AREA)
  • Chemical & Material Sciences (AREA)
  • Mathematical Physics (AREA)
  • Traffic Control Systems (AREA)
  • Control Of Driving Devices And Active Controlling Of Vehicle (AREA)

Abstract

Provided are a vehicle control device, a vehicle control method, and a storage medium, which are capable of remotely controlling a vehicle based on the action of the face of a user located outside the vehicle. The vehicle control device is provided with: a recognition unit that recognizes the motion of a user's face existing outside the vehicle; a determination unit that determines a stop position of the vehicle based on the motion of the face recognized by the recognition unit; and a driving control unit that controls at least a speed of the vehicle to stop the vehicle at the stop position determined by the determination unit.

Description

Vehicle control device, vehicle control method, and storage medium
Technical Field
The invention relates to a vehicle control device, a vehicle control method, and a storage medium.
Background
A technique of detecting a position of a pedestrian present around a vehicle and illuminating the vicinity of the detected pedestrian with a lamp is known (for example, refer to patent document 1).
Prior art literature
Patent literature
Patent document 1: japanese patent laid-open No. 2006-069298
Disclosure of Invention
Problems to be solved by the invention
However, in the related art, no study is made on the content of remotely controlling the vehicle based on the action of the face of the user located outside the vehicle.
The invention provides a vehicle control device, a vehicle control method and a storage medium capable of remotely controlling a vehicle based on the action of the face of a user located outside the vehicle.
Means for solving the problems
The following means are employed in the vehicle control device, the vehicle control method, and the storage medium of the present invention.
(1) A vehicle control device according to an aspect of the present invention includes: a recognition unit that recognizes the motion of a user's face existing outside the vehicle; a determination unit that determines a stop position of the vehicle based on the motion of the face recognized by the recognition unit; and a driving control unit that controls at least a speed of the vehicle to stop the vehicle at the stop position determined by the determination unit.
(2) In the vehicle control device according to the aspect of (1), at least two rows of seats are arranged in the traveling direction, the recognition unit recognizes the line of sight of the user as the operation of the face, and the determination unit determines, as the stop position, any one of a first position, a second position, and a third position, based on the line of sight recognized by the recognition unit, the first position being a position at which the user is closest to the first row of seats, the second position being a position at which the user is closest to the second row of seats, and the third position being a position at which the user is closest to the luggage.
(3) In the vehicle control device according to the aspect (2), the determination unit is configured not to change the stop position when the recognition unit recognizes a first posture after the vehicle moves to the stop position, and the determination unit is configured to determine the stop position again when the recognition unit recognizes a second posture different from the first posture after the vehicle moves to the stop position.
(4) In the vehicle control device according to the aspect (3), the first posture is an operation in which the user agrees with the stop position, and the second posture is an operation in which the user does not agree with the stop position.
(5) In the vehicle control device according to the aspect (3) or (4), the determination unit may be configured to determine the stop position again based on the line of sight recognized by the recognition unit when the second posture is recognized by the recognition unit.
(6) In the vehicle control device according to any one of the aspects (3) to (5), the driving control unit is configured to move the vehicle to the determined stop position when the determination unit determines the stop position again.
(7) Another vehicle control method according to another aspect of the present invention is a vehicle control method according to the present invention, wherein: recognizing the action of the face of the user existing outside the vehicle; determining a stop position of the vehicle based on the recognized motion of the face; and controlling at least a speed of the vehicle to stop the vehicle at the stop position.
(8) A storage medium of another aspect of the present invention is a medium storing a computer-readable program for causing a vehicle-mounted computer to: recognizing the action of the face of the user existing outside the vehicle; determining a stop position of the vehicle based on the recognized motion of the face; and controlling at least a speed of the vehicle to stop the vehicle at the stop position.
Effects of the invention
According to any one of (1) to (8), the vehicle can be remotely controlled based on the action of the face of the user located outside the vehicle.
Drawings
Fig. 1 is a block diagram of a vehicle system using a vehicle control device according to an embodiment.
Fig. 2 is a functional configuration diagram of the first control unit and the second control unit.
Fig. 3 is a diagram schematically showing a scenario in which an automatic parking event is performed.
Fig. 4 is a diagram showing an example of the structure of the parking lot management device.
Fig. 5 is a flowchart showing an example of a series of processes performed by the automatic driving control device according to the first embodiment.
Fig. 6 is a flowchart showing an example of a series of processes performed by the automatic driving control device according to the first embodiment.
Fig. 7 is a diagram showing an example of a scene in which the host vehicle has reached the stop region.
Fig. 8 is a view showing an example of a scenario in which the host vehicle is stopped at a stop position.
Fig. 9 is a view showing another example of a scene in which the host vehicle has reached the stop region.
Fig. 10 is a view showing an example of a scenario in which the host vehicle is stopped at the first stop position.
Fig. 11 is a diagram showing an example of a scene after a reject gesture is performed.
Fig. 12 is a view showing an example of a scenario in which the host vehicle is stopped at the second stop position.
Fig. 13 is a view showing another example of a scene in which the host vehicle has reached the stop region.
Fig. 14 is a view showing another example of a scenario in which the host vehicle is stopped at a stop position.
Fig. 15 is a diagram showing an example of a hardware configuration of the automatic driving control device according to the embodiment.
Description of the reference numerals
1 … vehicle system, 10 … camera, 12 … radar device, 14 … probe, 16 … object recognition device, 20 … communication device, 30 … HMI, 40 … vehicle sensor, 50 … navigation device, 60 … MPU, 80 … driving operation member, 100 … automated driving control device, 120 … first control portion, 130 … recognition portion, 140 … action plan generation portion, 142 … event determination portion, 144 … target track generation portion, 146 … stop position determination portion, 160 … second control portion, 162 … acquisition portion, 164 … speed control portion, 166 … steering control portion, 190 … storage portion, 200 … driving force output device, 210 … braking device, 220 … steering device, M … host vehicle.
Detailed Description
Embodiments of a vehicle control device, a vehicle control method, and a storage medium according to the present invention are described below with reference to the drawings.
< first embodiment >, first embodiment
[ integral Structure ]
Fig. 1 is a block diagram of a vehicle system 1 using a vehicle control device according to an embodiment. The vehicle on which the vehicle system 1 is mounted is, for example, a two-wheel, three-wheel, four-wheel or the like vehicle. The driving source of these vehicles may be an internal combustion engine such as a diesel engine or a gasoline engine, an electric motor, or a combination thereof. The motor operates using generated power generated by a generator connected to the internal combustion engine or discharge power of the secondary battery or the fuel cell.
The vehicle system 1 includes, for example, a camera 10, a radar device 12, a detector 14, an object recognition device 16, communication devices 20, HMI (Human Machine Interface), vehicle sensors 40, navigation devices 50, MPU (Map Positioning Unit), a driving operation element 80, an automatic driving control device 100, a running driving force output device 200, a braking device 210, and a steering device 220. The devices and apparatuses are connected to each other via a multi-way communication line such as CAN (Controller Area Network) communication line, a serial communication line, a wireless communication network, or the like. The configuration shown in fig. 1 is merely an example, and a part of the configuration may be omitted or another configuration may be further added.
The camera 10 is, for example, a digital camera using a solid-state imaging device such as CCD (Charge Coupled Device) or CMOS (Complementary Metal Oxide Semiconductor). The camera 10 is mounted on the front, side, rear, and the like of a vehicle (hereinafter referred to as the host vehicle M) on which the vehicle system 1 is mounted. In the vehicle interior of the host vehicle M, for example, two or more rows of seats are juxtaposed in the traveling direction.
For example, the camera 10 is mounted on the upper part of a front windshield, the rear view mirror of a vehicle interior, or the like when photographing the front of the vehicle M, is mounted on a side windshield or the like when photographing the side of the vehicle M, and is mounted on a rear windshield, a trunk lid as a lid of a trunk room (trunk room), or the like when photographing the rear of the vehicle M. In the case where the host vehicle M is a two-row seat type vehicle in which a driver seat and an assistant seat are provided in a first row and a rear seat is provided in a second row, for example, the camera 10 may be mounted on a side windshield of the first row seat and a side windshield of the second row seat of the host vehicle M, respectively. The camera 10 periodically and repeatedly photographs the periphery of the host vehicle M. The camera 10 may be a stereoscopic video camera.
The radar device 12 emits radio waves such as millimeter waves to the periphery of the host vehicle M, and detects at least the position (distance and azimuth) of the object by detecting radio waves (reflected waves) reflected by the object. The radar device 12 is mounted on an arbitrary portion of the host vehicle M. The radar device 12 may also detect the position and velocity of an object by the FM-CW (Frequency Modulated Continuous Wave) method.
The detector 14 is LIDAR (Light Detection and Ranging). The detector 14 irradiates light to the periphery of the vehicle M and measures scattered light. The detector 14 detects the distance to the object based on the time from light emission to light reception. The irradiated light is, for example, pulsed laser light. The detector 14 is mounted on an arbitrary portion of the host vehicle M.
The object recognition device 16 performs a sensor fusion process on the detection results detected by some or all of the camera 10, the radar device 12, and the detector 14, to recognize the position, the type, the speed, and the like of the object. The object recognition device 16 outputs the recognition result to the automatic driving control device 100. The object recognition device 16 may output the detection results of the camera 10, the radar device 12, and the detector 14 directly to the automatic driving control device 100. The object recognition device 16 may also be omitted from the vehicle system 1.
The communication device 20 communicates with other vehicles or parking lot management devices (described later) existing in the vicinity of the host vehicle M, or various server devices, for example, using a cellular network, a Wi-Fi network, bluetooth (registered trademark), DSRC (Dedicated Short Range Communication), or the like.
The HMI30 presents various information to the occupant of the own vehicle M and receives an input operation by the occupant. HMI30 includes a display, speaker, buzzer, touch panel, switch, key, etc.
The vehicle sensor 40 includes a vehicle speed sensor that detects the speed of the host vehicle M, an acceleration sensor that detects acceleration, a yaw rate sensor that detects the angular velocity about the vertical axis, an azimuth sensor that detects the direction of the host vehicle M, and the like.
The navigation device 50 includes, for example, a GNSS (Global Navigation Satellite System) receiver 51, a navigation HMI52, and a route determining unit 53. The navigation device 50 holds the first map information 54 in a storage device such as HDD (Hard Disk Drive) or a flash memory. The GNSS receiver 51 determines the position of the own vehicle M based on the signals received from the GNSS satellites. The position of the host vehicle M may be determined or supplemented by INS (Inertial Navigation System) using the output of the vehicle sensor 40. The navigation HMI52 includes a display, speakers, touch panel, keys, etc. The navigation HMI52 may be partially or entirely shared with the HMI30 described above. The route determination unit 53 determines a route (hereinafter referred to as an on-map route) from the position of the host vehicle M (or an arbitrary position inputted thereto) specified by the GNSS receiver 51 to the destination inputted by the occupant using the navigation HMI52, for example, with reference to the first map information 54. The first map information 54 is, for example, information showing the shape of a road by a route showing the road and nodes connected by the route. The first map information 54 may contain curvature of a road, POI (Point Of Interest) information, and the like. The route on the map is output to the MPU 60. The navigation device 50 may perform route guidance using the navigation HMI52 based on the route on the map. The navigation device 50 can be realized by the functions of a terminal device such as a smart phone or a tablet terminal carried by an occupant. The navigation device 50 may send the current position and the destination to the navigation server via the communication device 20, and acquire a route equivalent to the route on the map from the navigation server.
The MPU60 includes, for example, a recommended lane determining unit 61, and holds the second map information 62 in a storage device such as an HDD or a flash memory. The recommended lane determining unit 61 divides the route on the map provided by the navigation device 50 into a plurality of sections (for example, every 100 m in the vehicle traveling direction), and determines the recommended lane by section with reference to the second map information 62. The recommended lane determination unit 61 determines which lane from the left side is to be traveled. The recommended lane determining unit 61 determines the recommended lane so that the host vehicle M can travel on a reasonable route for traveling to the branching destination when the branching point exists on the route on the map.
The second map information 62 is map information having higher accuracy than the first map information 54. The second map information 62 includes, for example, information of the center of a lane or information of the boundary of a lane. The second map information 62 may include road information, traffic rule information, residence information (residence, zip code), facility information, telephone number information, and the like. The second map information 62 may also be updated at any time by communicating with other devices via the communication device 20.
The steering operation member 80 includes, for example, an accelerator pedal, a brake pedal, a shift lever, a steering wheel, a shaped steering, a joystick, and the like. A sensor for detecting the amount of operation or the presence or absence of operation is attached to the driving operation element 80, and the detection result of the sensor is output to the automatic driving control device 100, or to some or all of the running driving force output device 200, the brake device 210, and the steering device 220.
The automatic driving control device 100 includes, for example, a first control unit 120, a second control unit 160, and a storage unit 190. One or both of the first control unit 120 and the second control unit 160 are realized by executing a program (software) by a processor such as CPU (Central Processing Unit) or GPU (Graphics Processing Unit), for example. Some or all of the above-described components may be realized by hardware (including a circuit unit) such as LSI (Large Scale Integration), ASIC (Application Specific Integrated Circuit), or FPGA (Field-Programmable Gate Array), or may be realized by cooperation of software and hardware. The program may be stored in advance in an HDD, a flash memory, or the like of the storage unit 190, or may be stored in a detachable storage medium such as a DVD, a CD-ROM, or the like, and the storage medium is mounted on the storage unit 190 by being mounted on a drive device.
The storage section 190 is implemented by, for example, an HDD, a flash memory, EEPROM (Electrically Erasable Programmable Read Only Memory), ROM (Read Only Memory), RAM (Random Access Memory), or the like. The storage unit 190 stores, for example, a program or the like read and executed by a processor.
Fig. 2 is a functional configuration diagram of the first control unit 120 and the second control unit 160. The first control unit 120 includes, for example, a recognition unit 130 and an action plan generation unit 140.
The first control unit 120 realizes, for example, a function realized based on AI (Artificial Intelligence: artificial intelligence) and a function realized based on a model provided in advance in parallel. For example, the function of "identifying an intersection" can be realized by performing, in parallel, identification of an intersection realized by deep learning or the like and identification realized by a condition (presence of a signal, a road sign, or the like capable of pattern matching) provided in advance, and comprehensively evaluating both of them with a score added thereto. Thereby, reliability of automatic driving is ensured.
The recognition unit 130 recognizes the surrounding situation of the vehicle M based on the information input from the camera 10, the radar device 12, and the detector 14 via the object recognition device 16, that is, the detection result obtained by sensor fusion. For example, the recognition unit 130 recognizes the state of the position, speed, acceleration, and the like of the object existing in the vicinity of the host vehicle M as the surrounding situation. Examples of the object whose surrounding situation is recognized include a moving object such as a pedestrian or another vehicle, and a stationary object such as a construction tool. The position of the object is identified as a position on coordinates with the representative point (center of gravity, drive shaft center, etc.) of the host vehicle M as an origin, for example, and is used in control. The position of an object may be represented by a representative point such as the center of gravity or a corner of the object, or may be represented by an area having a spatial extent. The "state" of the object may include acceleration, jerk, or "behavior" of the object (e.g., whether a lane change is being made or is to be made).
For example, the recognition unit 130 recognizes, as the surrounding situation, a lane in which the host vehicle M is traveling (hereinafter referred to as a host lane), an adjacent lane adjacent to the host lane, or the like. For example, the identifying unit 130 compares the pattern of the road dividing line (for example, the arrangement of the solid line and the broken line) obtained from the second map information 62 with the pattern of the road dividing line around the host vehicle M identified from the image captured by the camera 10, thereby identifying the host lane and the adjacent lane. The identification unit 130 is not limited to identifying the road dividing line, and may identify the own lane and the adjacent lane by identifying a traveling road boundary (road boundary) including a road dividing line, a road shoulder, a curb, a center isolation belt, a guardrail, and the like. In this identification, the position of the host vehicle M acquired from the navigation device 50 and the processing result of the INS processing may be taken into consideration. The identification unit 130 may identify other road matters such as a sidewalk, a stop line (including a temporary stop line), an obstacle, a red light, a toll booth, and a road structure.
When recognizing the host lane, the recognition unit 130 recognizes the relative position and posture of the host vehicle M with respect to the host lane. The recognition unit 130 can recognize, for example, a deviation of the host vehicle M from a reference point at the center of the lane and an angle formed by a vector indicating the traveling direction of the host vehicle M and a line connecting the center of the lane as the relative position and posture of the host vehicle M with respect to the host lane. Instead of this, the identification unit 130 may identify the position of the reference point of the host vehicle M with respect to any one side end portion (road dividing line or road boundary) of the host lane, or the like, as the relative position of the host vehicle M with respect to the host lane.
The recognition unit 130 recognizes the motion of the face of the occupant (an example of the user) existing outside the host vehicle M based on information input from the camera 10, the radar device 12, and the detector 14 via the object recognition device 16, and recognizes the direction (hereinafter, referred to as the line of sight) in which the occupant is looking based on the motion of the face. In other words, the recognition portion 130 recognizes an object or a space at which the line of sight of the occupant is projected. Specifically, the recognition unit 130 may recognize the line of sight based on the relative position of the comparison object such as the iris with respect to the reference object such as the canthus and the eyebrow. At this time, the recognition unit 130 may correct the line of sight recognized by the movement of the eyes of the occupant based on the direction in which the front face of the body of the occupant faces and the direction in which the face faces.
The recognition unit 130 may recognize the line of sight of the occupant using a model such as a deep neural network or a support vector machine such as CNN (Convolutional Neural Network) or RNN (Recurrent Neural Network). For example, the recognition unit 130 inputs images of the cameras 10 mounted at the respective positions of the vehicle M into the model, and recognizes the line of sight of the occupant based on the output result of the model after the input of the images. For example, the model is a two-class identifier learned based on teacher data, which is data in which information identifying whether a person looks in a direction in which a camera is located (hereinafter referred to as a first direction) or looks in another direction (hereinafter referred to as a second direction) is associated with an image obtained by capturing a face of the person as a teacher tag. When an image is input to the model that has been learned, the direction of the line of sight of a person photographed on the image is classified into two values (two possibilities) indicating whether it is the first direction or the second direction, and the classification result is output. For example, when the image of the camera 10 attached to the trunk lid or the rear windshield is input to the model, the recognition unit 130 may recognize the direction in which the trunk lid or the rear windshield is present as the direction indicating the line of sight of the occupant when the output result of the model is a result that the value indicating the first direction is larger than the value indicating the second direction.
The recognition unit 130 recognizes the posture (or body language) of the occupant existing outside the host vehicle M based on the information input from the camera 10, the radar device 12, and the detector 14 via the object recognition device 16. For example, the recognition unit 130 recognizes a gesture by analyzing the motion of a part of the body such as the head, face, hand, arm, upper body, and lower body.
The action plan generation unit 140 includes an event determination unit 142, a target trajectory generation unit 144, and a stop position determination unit 146. The event determination unit 142 determines an event of automatic driving on a route on which the recommended lane is determined. The automatic driving is driving in which one or both of the steering and the speed of the host vehicle M are controlled to run the host vehicle M, regardless of the operation of the driving operation element 80 by the occupant of the host vehicle M. In contrast, manual driving refers to driving in which the steering and speed of the host vehicle M are controlled in accordance with the operation of the driving operation element 80 by the occupant. The event of the automatic driving is information defining the form of behavior that the host vehicle M should take, i.e., the running form, under the above-described automatic driving.
Events include, for example, an automatic parking event, a stop event, a forward event, a reverse event, and the like. The automatic parking event is an event in which the occupant of the host vehicle M parks the host vehicle M in the parking space, but rather, the occupant autonomously drives the host vehicle M to park the host vehicle M in the parking space, as if the occupant were a substitute for the occupant. The stop event is an event that stops the own vehicle M on site. The forward event is an event that causes the host vehicle M to advance while slowing down. The reverse event is an event that causes the host vehicle M to reverse while traveling slowly.
Events include, for example, constant speed travel events, follow-up travel events, lane change events, branching events, merging events, overtaking events, avoidance events, takeover events, and the like. The constant-speed travel event is an event in which the host vehicle M is caused to travel on the same lane at a fixed speed. The follow-up travel event is an event in which the host vehicle M is caused to follow another vehicle (hereinafter referred to as a preceding vehicle) that is present within a predetermined distance (for example, within 100[ M ]) in front of the host vehicle M and is closest to the host vehicle M. The "following" may be, for example, a running mode in which the relative distance (inter-vehicle distance) between the host vehicle M and the preceding vehicle is kept constant, or a running mode in which the host vehicle M runs in the center of the host lane in addition to the relative distance between the host vehicle M and the preceding vehicle being kept constant. The lane change event is an event in which the host vehicle M makes a lane change from the host lane to an adjacent lane. The branching event is an event in which the own vehicle M branches to the lane on the target side at the branching point of the road. The merging event is an event that merges the own vehicle M into the main line at the merging point. The overtaking event is an event in which the host vehicle M temporarily makes a lane change to an adjacent lane, and after the adjacent lane overtakes the preceding vehicle, makes a lane change again to the original lane. The avoidance event is an event that causes the host vehicle M to perform at least one of braking and steering in order to avoid an obstacle existing in front of the host vehicle M. The takeover event is an event that ends the automated driving and switches to manual driving.
The event determination unit 142 may change the determined event to another event for the current section or the subsequent section, or may determine a new event for the current section or the subsequent section, based on the surrounding situation recognized by the recognition unit 130 when the host vehicle M is traveling.
The target track generation unit 144 generates a target track for causing the host vehicle M to automatically travel in a travel pattern defined by an event (independent of the operation of the driver) in the future so as to cause the host vehicle M to travel in principle on the recommended lane determined by the recommended lane determination unit 61 and to cope with the surrounding situation when the host vehicle M travels in the recommended lane. The target trajectory includes, for example, a position element defining a future position of the host vehicle M and a speed element defining a future speed, acceleration, and the like of the host vehicle M.
For example, the target track generation unit 144 determines a plurality of points (track points) to which the host vehicle M sequentially should reach as the position elements of the target track. The track point is a point to which the own vehicle M should reach every predetermined travel distance (for example, several M). The predetermined travel distance may be calculated, for example, in accordance with a distance along the route.
The target trajectory generation unit 144 determines a target velocity and a target acceleration at predetermined sampling time intervals (for example, at the order of several tenths of a second) as velocity elements of the target trajectory. The track point may be a position where the own vehicle M should reach at the sampling timing every predetermined sampling time. In this case, the target speed and the target acceleration are determined based on the sampling time and the interval between the track points. The target track generation unit 144 outputs information indicating the generated target track to the second control unit 160.
The stop position determining unit 146 determines a target position (hereinafter referred to as a stop position P) at which the vehicle M is stopped in each event based on the line of sight of the occupant recognized by the recognition unit 130 ST )。
For example, when there is a trunk lid at the line of sight of the occupant, that is, when the occupant looks at the trunk lid of the vehicle M from the outside of the vehicle, the stop position determining unit 146 determines, as the stop position P of the vehicle M, the position closest to the occupant (an example of "third position") than the positions of the trunk lid such as the door of the first row of seats including the driver seat and the assistant seat (hereinafter referred to as front seat door), the door of the second row of seats including the rear seat (hereinafter referred to as rear seat door), and the like ST
For example, when there is a front seat door at the line of sight of the occupant, that is, when the occupant looks at the front seat door of the vehicle M from the outside, the stop position determining unit 146 determines, as the stop position P of the vehicle M, a position (an "example of the first position") at which the front seat door is closest to the occupant than the rear seat door, the trunk lid, or the like ST
For example, when the rear seat door is present at the point of sight of the occupant, that is, when the occupant looks at the rear seat door of the vehicle M from the outside, the stop position determining unit 146 determines a position (an "example of the second position") at which the rear seat door is closest to the occupant than the front seat door, the trunk lid, or the like, as the stop position of the vehicle M.
At the stop position P of the host vehicle M determined by the stop position determining unit 146 ST When the target track generation unit 144 generates a signal to stop the host vehicle M at the stop position P ST Is a target track of (a). For example, the target track generation unit 144 is located from the current position of the host vehicle M to the stop position P ST Generating a plurality of track points which are arranged in time series on one route and which approach the stop position P along with the approaching vehicle M ST And a target track for decreasing the target speed.
The second control unit 160 controls some or all of the running driving force output device 200, the braking device 210, and the steering device 220 so that the vehicle M passes through the target track generated by the behavior plan generation unit 140 at a predetermined timing. That is, the second control unit 160 automatically drives the vehicle M based on the target trajectory generated by the action plan generation unit 140.
The second control unit 160 includes, for example, an acquisition unit 162, a speed control unit 164, and a steering control unit 166. The event determination unit 142, the target track generation unit 144, and the second control unit 160 together are an example of a "driving control unit".
The acquisition unit 162 acquires information of the target track (track point) generated by the action plan generation unit 140, and stores the information in the memory of the storage unit 190.
The speed control unit 164 controls one or both of the running driving force output device 200 and the brake device 210 based on a speed element (e.g., a target speed, a target acceleration, etc.) included in the target track stored in the memory.
The steering control unit 166 controls the steering device 220 based on a position element (for example, a curvature indicating the degree of curvature of the target track) included in the target track stored in the memory.
The processing by the speed control unit 164 and the steering control unit 166 is realized by a combination of feedforward control and feedback control, for example. As an example, the steering control unit 166 performs a combination of a feedforward control according to the curvature of the road ahead of the host vehicle M and a feedback control based on the deviation of the host vehicle M from the target track.
The running driving force output device 200 outputs a running driving force (torque) for running the vehicle to the driving wheels. The running driving force output device 200 includes, for example, a combination of an internal combustion engine, an electric motor, a transmission, and the like, and controls the power ECU (Electronic Control Unit) thereof. The power ECU controls the above-described configuration based on the information input from the second control portion 160 or the information input from the driving operation member 80.
The brake device 210 includes, for example, a caliper, a hydraulic cylinder that transmits hydraulic pressure to the caliper, an electric motor that generates hydraulic pressure in the hydraulic cylinder, and a brake ECU. The brake ECU controls the electric motor in accordance with information input from the second control unit 160 or information input from the driving operation element 80, and outputs a braking torque corresponding to a braking operation to each wheel. The brake device 210 may be provided with a mechanism for transmitting the hydraulic pressure generated by the operation of the brake pedal included in the driving operation element 80 to the hydraulic cylinder via the master cylinder. The brake device 210 is not limited to the above-described configuration, and may be an electronically controlled hydraulic brake device that transmits the hydraulic pressure of the master cylinder to the hydraulic cylinders by controlling the actuators in accordance with information input from the second control unit 160.
The steering device 220 includes, for example, a steering ECU and an electric motor. The electric motor applies a force to the rack-and-pinion mechanism to change the direction of the steered wheel, for example. The steering ECU drives the electric motor in accordance with information input from the second control unit 160 or information input from the driving operation element 80 to change the direction of the steered wheels.
[ automatic parking event-warehouse entry time ]
The function of the action plan generation unit 140 for executing the automatic parking event will be described below. The action plan generating unit 140 that has executed the automatic parking event parks the vehicle M in the parking space based on, for example, information acquired from the parking lot management device 400 by the communication device 20. Fig. 3 is a diagram schematically showing a scenario in which an automatic parking event is performed. The gates 300-in and 300-out are provided on the route from the road Rd to the destination facility. The access destination facility is, for example, a housing facility such as a shopping store, a restaurant, a hotel, or the like, an airport, a hospital, a venue, or the like.
The host vehicle M travels to the stop zone 310 through the gate 300-in using manual driving or automatic driving.
The stop area 310 faces the entry/exit area 320 connected to the access destination facility, and is an area where temporary parking is allowed for passengers to get off the vehicle into the entry/exit area 320 or for passengers to get on the vehicle from the entry/exit area 320. The get-on/off area 320 is an area provided for passengers to get off the vehicle, for passengers to get on the vehicle, or for passengers to wait in place before the vehicle arrives. The get-on/off area 320 is typically provided on one side of the road on which the stop area 310 is provided. The boarding and alighting area 320 may also be provided with a shielding eave for snow, rain and sun protection.
For example, the vehicle M on which the occupant is mounted is parked in the stop area 310, and the occupant gets off from the get-on/off area 320. Thereafter, the host vehicle M automatically drives in an unmanned state, and starts an automatic parking event from the stop area 310 to the parking space PS in the parking lot PA. The initiation of the automatic parking event may be, for example, the approaching of the vehicle M to the destination facility within a predetermined distance, the starting of the application by the passenger using a terminal device such as a mobile phone, or the wireless reception of a predetermined signal by the communication device 20 from the parking lot management device 400.
When an automatic parking event is started, the action plan generation unit 140 controls the communication device 20 to transmit a parking request to the parking lot management device 400. When a space available for a vehicle to park is available in parking space PA, parking space management apparatus 400 that has received the parking request transmits a predetermined signal to the vehicle that is the source of the parking request as a response to the parking request. The host vehicle M that receives the predetermined signal moves from the stop area 310 to the parking lot PA or moves from the stop area 310 to the parking lot PA while being self-sensed as guided by the parking lot management device 400. The vehicle M does not have to be in an unmanned state when the automatic parking event is performed, and may be in a state where a worker or the like in the parking lot PA sits on the vehicle M.
Fig. 4 is a diagram showing an example of the structure of parking lot management device 400. The parking lot management device 400 includes, for example, a communication unit 410, a control unit 420, and a storage unit 430. The storage unit 430 stores information such as parking lot map information 432 and a parking space state table 434.
The communication unit 410 communicates with the host vehicle M and other vehicles by wireless. The control unit 420 guides the vehicle to the parking space PS based on the information acquired (received) by the communication unit 410 and the information stored in the storage unit 430. The parking lot map information 432 is information geometrically representing the structure of the parking lot PA, and includes, for example, coordinates of each parking space PS. The parking space state table 434 is a table in which, for example, a state indicating whether the vehicle is not parked in a parking space indicated by a parking space ID (identification information of the parking space PS) or in a full (in-parking) state of the parking space indicated by the parking space ID, and a correspondence relationship is established between the parking space ID and identification information of the vehicle in the full state, that is, the identification information of the vehicle in parking.
When the communication unit 410 receives a parking request from a vehicle, the control unit 420 refers to the parking space state table 434 to extract the parking space PS in which the state is the free state, acquires the position of the extracted parking space PS from the parking lot map information 432, and transmits path information indicating a suitable path up to the acquired position of the parking space PS to the vehicle using the communication unit 410. The control unit 420 instructs a specific vehicle to stop or slow down as needed based on the positional relationship of the plurality of vehicles so as not to allow the vehicles to travel to the same position at the same time.
When the host vehicle M receives the route information from the parking lot management device 400, the action plan generation unit 140 generates a target track based on the route. For example, the action plan generation unit 140 may generate a target track having a speed smaller than the limit speed in the parking lot PA as a target speed and arranging track points in the center of the road in the parking lot PA on a path from the current position of the vehicle M to the parking space PS. When the host vehicle M approaches the target parking space PS, the recognition unit 130 recognizes a parking frame line or the like that partitions the parking space PS, and recognizes the relative position of the parking space PS with respect to the host vehicle M. When recognizing the position of the parking space PS, the recognition unit 130 supplies the recognition result, such as the direction of the recognized parking space PS (the direction of the parking space viewed from the host vehicle M) and the distance to the parking space PS, to the action plan generation unit 140. The action plan generation unit 140 corrects the target trajectory based on the supplied recognition result. The second control unit 160 controls the steering and speed of the vehicle M according to the target trajectory corrected by the action plan generation unit 140, thereby stopping the vehicle M in the parking space PS.
[ automatic parking event-when leaving warehouse ]
The action plan generation unit 140 and the communication device 20 maintain the operation state even when the host vehicle M is stopped. For example, the passenger who gets off the vehicle M operates the terminal device to start a dedicated application, and sends a pickup request to the communication device 20 of the vehicle M. The pickup request is a command to call the host vehicle M from a remote location away from the host vehicle M to request the host vehicle M to move to the vicinity of the host vehicle M.
Upon receiving the pickup request from the communication device 20, the action plan generation unit 140 executes an automatic parking event. The action plan generating unit 140 that has executed the automatic parking event generates a target track for moving the host vehicle M from the parking space PS where the host vehicle M parks to the stop area 310. The second control unit 160 moves the vehicle M to the stop area 310 in accordance with the target trajectory generated by the action plan generation unit 140. For example, the action plan generation unit 140 may generate a target track in which a speed smaller than a limit speed in the parking lot PA is set as a target speed and track points are arranged in the center of a road in the parking lot PA on a path to the stop area 310.
When the own vehicle M approaches the stop area 310, the recognition unit 130 recognizes the boarding and disembarking area 320 facing the stop area 310, and recognizes objects such as persons and baggage existing in the boarding and disembarking area 320. Further, the recognition unit 130 recognizes the occupant of the own vehicle M from one or more persons present in the boarding and disembarking area 320. For example, when a plurality of persons are present in the boarding and disembarking area 320 and a plurality of candidate occupants are present, the identification unit 130 may identify the occupant of the host vehicle M from other occupants than the occupant of the host vehicle M based on the radio wave intensity of the terminal device carried by the occupant of the host vehicle M and the radio wave intensity of the electronic key capable of locking, unlocking, and the like of the host vehicle M. For example, the recognition unit 130 may recognize a person having the strongest radio wave intensity as an occupant of the own vehicle M. The recognition unit 130 may recognize the occupant of the vehicle M from other occupants based on the feature value of the face of each candidate occupant or the like. When the vehicle M approaches the occupant of the vehicle M, the action plan generation unit 140 corrects the target track so as to further reduce the target speed and shift the track point from the road center to the get-on/off area 320. Based on this, the second control unit 160 makes the own vehicle M stop in the stop area 310 toward the get-on/off area 320 side.
When receiving the pickup request to generate the target track, the action plan generation unit 140 controls the communication device 20 to transmit a start request to the parking lot management device 400. When the communication unit 410 receives a start request, the control unit 420 of the parking lot management device 400 instructs a specific vehicle to stop or slow traveling as needed based on the positional relationship of the plurality of vehicles, as in the case of the warehouse entry, so that the vehicles do not travel to the same position at the same time. When the vehicle M moves to the stop area 310 and the passenger gets on the vehicle M in the get-on/off area 320, the action plan generating unit 140 ends the automatic stop event. Thereafter, the automated driving control apparatus 100 plans a junction event or the like for joining the host vehicle M from the parking lot PA to the road in the urban area, and performs automated driving based on the planned event, or the occupant manually drives the host vehicle M by himself.
The action plan generation unit 140 is not limited to the above description, and may be configured to stop the vehicle M in the found parking space PS by automatically finding the parking space PS in the idle state based on the detection result detected by the camera 10, the radar device 12, the detector 14, or the object recognition device 16, instead of depending on communication.
[ Process flow at the time of delivery ]
A series of processes performed by the automated driving control apparatus 100 at the time of shipment will be described below with reference to flowcharts. Fig. 5 and 6 are flowcharts showing an example of a series of processes performed by the automatic driving control device 100 according to the first embodiment. The processing in this flowchart may be repeated, for example, at a predetermined cycle. If not described in particular, the identification unit 130 is set to continue various kinds of identification during the processing in the present flowchart.
First, the event determination unit 142 of the action plan generation unit 140 waits until the communication device 20 receives the pickup request (step S100), and determines an event of the route to the stop area 310 as an automatic stop event when the communication device 20 receives the pickup request. Based on this, the target track generation unit 144 generates a target track for moving the host vehicle M from the parking space PS where the host vehicle M parks to the stop area 310 (step S102).
Next, upon receiving the pickup request, the second control unit 160 performs automatic driving based on the target track generated by the target track generating unit 144, and moves the host vehicle M to the stop area 310 (step S104).
Next, when the host vehicle M approaches the stop area 310, the stop position determining unit 146 waits until the line of sight of the occupant existing in the boarding and disembarking area 320 facing the stop area 310 is recognized by the recognizing unit 130 (step S106), and when the line of sight of the occupant is recognized by the recognizing unit 130, determines the stop position P at which the host vehicle M should be stopped in the stop area 310 based on the line of sight of the occupant ST (step S108).
Fig. 7 is a diagram showing an example of a scene in which the host vehicle M has reached the stop area 310. In the figure, OP represents the occupant of the host vehicle M, V represents the line of sight of the occupant OP recognized by the recognition unit 130, and D R1 Representing the front seat door, D, of the host vehicle M R2 Representing the rear seat door, L, of the host vehicle M TR A trunk lid of the host vehicle M is shown.
For example, when the vehicle M reaches the stop region 310, the stop position determining unit 146 determines the stop position P according to which part of the vehicle body of the vehicle M the occupant OP is looking at ST . In the illustrated example, the front seat door D is present at the projection of the line of sight V of the occupant OP R1 Therefore, the stop position determining unit 146 will cause the front seat door D to move R1 Compared with the rear seat door D R2 Trunk lid L TR The position closest to the occupant OP is determined as the stop position P of the own vehicle M ST
Next, the target track generation unit 144 generates a target track which reaches the stop position P determined by the stop position determination unit 146 ST Is set (step S110). Next, the second control unit 160 controls at least one or both of the speed and the steering of the host vehicle M based on the target track generated by the target track generation unit 144 in the process of S110, and stops the host vehicle M at the stop position P ST (step S112).
FIG. 8 shows the vehicle M being stopped at the stop position P ST A diagram of an example of a scene of (a). La in the figure indicates the distance from the occupant OP to the front seat door D R1 The distance (hereinafter referred to as a first distance) Lb from the occupant OP to the rear seat door D R2 The distance (hereinafter referred to as a second distance) Lc from the occupant OP to the trunk lid L TR The distance up to (hereinafter referred to as the third distance). As in the scenario illustrated in fig. 7, there is a front seat door D at the projection of the line of sight V of the occupant OP R1 In the case of (1), the stop position P ST Is determined to be the front seat door D R1 Compared with the rear seat door D R2 Trunk lid L TR And is closest to the occupant OP. Therefore, the vehicle M is stopped at the stop position P ST In this case, the first distance La among the first distance La, the second distance Lb, and the third distance Lc becomes the shortest. In this way, when the occupant positioned in the boarding and disembarking area 320 is looking at a part of the vehicle body of the host vehicle M approaching in the stopping area 310, the host vehicle M stops so that the part of the vehicle body that is looking at by the occupant is closest to the occupant. Thus, for example, when the occupant is in a state of holding the luggage, the occupant looks at the seat or the luggage case in which the occupant wants to store the luggage, and thus the occupant does not need to move himself or herself, and the vehicle M actively approaches the occupant so that the seat or the luggage case in which the occupant wants to store the luggage is positioned on the front surface of the occupant. As a result, convenience in using the host vehicle M can be improved.
The description returns to the flowcharts of fig. 5 and 6. Next, the stop position determining unit 146 stops the host vehicle M at the stop position P ST Then, it is determined whether or not the recognition unit 130 recognizes that the occupant present in the boarding and disembarking area 320 has performed the agreeing posture (step S114).
The agreeable posture is a posture in which the vehicle M is stopped at a position desired by the occupant and the vehicle M does not need to be moved from the position. For example, the agreeable posture is a posture in which the head is rocked in the up-down direction to nod. The agreeable gesture is an example of the "first gesture".
At the stop position P of the vehicle M ST If the recognition unit 130 does not recognize the agreeing posture thereafter, the stop position determining unit 146 further determines whether or not the recognition unit 130 recognizes that the passenger present in the boarding and disembarking area 320 has performed the refusing posture (step S116).
The rejection posture is a posture in which the vehicle M is not stopped at a position desired by the occupant and the vehicle M needs to be moved from the position. For example, the reject posture is a posture in which the head is rocked in the left-right direction. The reject gesture is an example of the "second gesture".
At the stop position P of the vehicle M ST After that, if the recognition unit 130 recognizes the agreeing posture or if the recognition unit 130 does not recognize both the agreeing posture and the refusing posture, the position determining unit 146 is stoppedThe stop position P determined in the process of S108 is not changed ST . Based on this, the target track generation unit 144 generates a signal to continue stopping the host vehicle M at the stop position P ST The second control unit 160 controls at least one of the steering and the speed of the vehicle M based on the target track, thereby causing the vehicle M to stand by in place (step S118).
On the other hand, when the host vehicle M is parked at the stop position P ST When the recognition unit 130 does not recognize the agreeing posture but recognizes the refusing posture, the stop position determination unit 146 determines the stop position P again based on the line of sight of the occupant who performed the refusing posture ST (step S120). Hereinafter, in order to distinguish the stop position P determined in the process of S108 ST And the stop position P determined again in the process of S120 ST The former is referred to as a "first stop position P ST "and the latter is referred to as" second stop position P ST "to illustrate.
Next, the target track generation unit 144 determines the second stop position P determined by the stop position determination unit 146 ST Whether or not to be greater than the first stop position P in the traveling direction of the host vehicle M ST Exist in the rear (step S122). In the second stop position P ST Is not greater than the first stop position P ST When the vehicle exists rearward but forward, the target track generation unit 144 generates a target track for advancing the vehicle M. Based on this, the second control unit 160 causes the host vehicle M to move from the first stop position P ST To the second stop position P ST Proceed (step S124). Then, the target track generation section 144 returns the process to S114.
On the other hand, in the second stop position P ST Than the first stop position P ST When the vehicle is present in the rear direction, the target track generation unit 144 determines whether or not a space in which the vehicle M can travel backward (hereinafter referred to as a backward space) exists based on the rear situation of the vehicle M recognized by the recognition unit 130 (step S126).
For example, the back space may be based on determining the first stop position P ST Part of the body of the host vehicle M (for example, front seat door D R1 Rear seat door D R2 Trunk lid L TR ) And determining the second stop position P ST The relative positional relationship of a part of the vehicle body of the host vehicle M as a reference is determined.
Specifically, the front seat door D is to be used R1 The position closest to the occupant OP is determined as the first stop position P ST And will cause the trunk lid L TR The position closest to the occupant OP is determined as the second stop position P ST In the case of (a) or vice versa, the trunk lid L is to be made TR The position closest to the occupant OP is determined as the first stop position P ST And will cause the front seat door D R1 The position closest to the occupant OP is determined as the second stop position P ST In the case of (a), the reverse space is set to the maximum dimension in the traveling direction of the own vehicle M (for example, an amount corresponding to the entire length of one own vehicle M).
At the front seat door D R1 The position closest to the occupant OP is determined as the first stop position P ST And will cause the rear seat door D R2 The position closest to the occupant OP is determined as the second stop position P ST In the case of (a), the rear seat door D will be made R2 The position closest to the occupant OP is determined as the first stop position P ST And will enable the trunk lid L TR The position closest to the occupant OP is determined as the second stop position P ST In (2) or in the contrary case, the reverse space is set to the second largest dimension in the traveling direction of the host vehicle M.
When it is determined that the retraction space exists, the target track generation unit 144 generates a target track for retracting the vehicle M. Based on this, the second control unit 160 causes the host vehicle M to move from the first stop position P ST To the second stop position P ST Back (step S128). Then, the target track generation section 144 returns the process to S114.
On the other hand, if it is determined that the backward space does not exist, the target track generation unit 144 proceeds to the process of S118, and generates a signal to continue stopping the host vehicle M at the first stop position P ST Is a target track of (a). Based on this, the second control unit 160 causesThe host vehicle M is at the first stop position P ST Standby is performed. Thus, the processing of the present flowchart ends.
Fig. 9 is a view showing another example of a scene in which the host vehicle M has reached the stop area 310. In the illustrated example, the trunk lid L is present at the projection of the line of sight V of the occupant OP TR Therefore, the stop position determining unit 146 will cause the trunk lid L to be closed TR Compared to the front seat door D R1 Rear seat door D R2 The position closest to the occupant OP is determined as the first stop position P of the own vehicle M ST
Fig. 10 shows the vehicle M being stopped at the first stop position P ST A diagram of an example of a scene of (a). As in the scenario illustrated in fig. 9, there is a trunk lid L at the projection of the line of sight V of the occupant OP TR In the case of (1), the first stop position P ST Is determined to be the trunk lid L TR Compared to the front seat door D R1 Rear seat door D R2 And is closest to the occupant OP. Therefore, the host vehicle M is stopped at the first stop position P ST At this time, the third distance Lc among the first, second, and third distances La, lb, and Lc becomes shortest.
In which the host vehicle M is parked in the trunk lid L TR First stop position P closest to occupant OP ST When the occupant OP has made the reject posture, the stop position determining unit 146 determines the second stop position P based on the line of sight of the occupant having made the reject posture ST
Fig. 11 is a diagram showing an example of a scene after a reject gesture is performed. In the scene illustrated in fig. 11, there is a rear seat door D at the projection of the line of sight V of the occupant OP in the refused posture R2 . Therefore, the stop position determining unit 146 will cause the rear seat door D to move R2 Compared to the front seat door D R1 Trunk lid L TR The position closest to the occupant OP is determined as the second stop position P of the host vehicle M ST
FIG. 12 shows the vehicle M being stopped at the second stop position P ST A diagram of an example of a scene of (a). As in the scenario illustrated in fig. 11, whileThe rear seat door D is present at the projection of the sight line V of the occupant OP in the refused posture R2 In the case of (2), the position at which the second distance Lb is the shortest among the first distance La, the second distance Lb, and the third distance Lc is determined as the second stop position P ST Therefore, when there is a space for the vehicle M to travel backward, the second control unit 160 moves the vehicle M backward as in the illustrated example. At this time, when the occupant OP agrees with the posture, the second control unit 160 causes the host vehicle M to be at the second stop position P ST Standby is performed.
In this way, if the occupant OP is in the reject posture after the sight line of the occupant OP is recognized and the vehicle M is moved by the autopilot so that a part of the vehicle body located where the sight line is directed is brought closest to the occupant OP, the sight line of the occupant OP is recognized again and the vehicle M is moved by the autopilot so that a part of the vehicle body located where the sight line is directed is brought closest to the occupant OP. This allows the vehicle M to move to a position where the occupant OP agrees (desired).
According to the first embodiment described above, the present invention includes: a recognition unit 130 that recognizes the motion of the face of the occupant OP existing outside the host vehicle M, and recognizes the line of sight of the occupant OP based on the recognized motion of the face; a stop position determining unit 146 that determines a stop position P of the vehicle M based on the line of sight of the occupant OP recognized by the recognition unit 130 ST (first stop position P) ST ) The method comprises the steps of carrying out a first treatment on the surface of the A target track generation unit 144 that generates a target track that reaches the stop position P determined by the stop position determination unit 146 ST Is a target track of (2); and a second control unit 160 that controls at least one of the speed and the steering of the vehicle M based on the target track generated by the target track generation unit 144. This enables the host vehicle M to be remotely controlled based on the action of the face of the occupant located outside the vehicle.
According to the first embodiment described above, the stop position determining unit 146 moves the host vehicle M to the stop position P ST After that, when the recognition unit 130 recognizes the agreeing posture, the stop position P is not changed ST When the host vehicle M moves to the first stop position P ST Then is recognized by the recognition part 130When the reject gesture is issued, the stop position P is determined again ST Therefore, the host vehicle M can be moved to a position where the occupant OP agrees (hopes).
< second embodiment >
The second embodiment will be described below. In the first embodiment, the following scheme is explained: when the occupant OP looks at the vehicle M from outside the vehicle, the stop position P is determined based on the position of the vehicle body of the vehicle M at the point where the line of sight of the occupant OP is directed ST . In contrast, in the second embodiment, when the occupant OP located outside the vehicle looks at the road on which the vehicle M is scheduled to travel, the stop position P is determined based on the position of the road surface at the position where the line of sight of the occupant OP is directed ST In this regard, the present invention is different from the first embodiment described above. Hereinafter, the differences from the first embodiment will be mainly described, and the description of the points common to the first embodiment will be omitted. In the description of the second embodiment, the same reference numerals are given to the same parts as those of the first embodiment.
The stop position determining unit 146 according to the second embodiment determines, as the stop position P of the host vehicle M, the region of the road surface located at the line of sight of the occupant OP when the line of sight of the occupant OP is the road surface of the stop region 310, that is, when the occupant OP looks at the road surface of the stop region 310 ST
Fig. 13 is a view showing another example of a scene in which the host vehicle M has reached the stop area 310. In the illustrated example, since the road surface of the stop region 310 is present at the projection of the line of sight V of the occupant OP, the stop position determination unit 146 determines the region of the road surface located at the projection of the line of sight as the stop position P of the host vehicle M ST . Specifically, the stop position determining unit 146 may determine a point at which the line of sight V intersects the road surface as the stop position P ST The stop position P may be determined by a region included in a circle or ellipse centered on a point where the line of sight V intersects with the road surface ST
Fig. 14 shows the parking of the host vehicle M at the stop position P ST Another example of a scene of (a) is shown. In as figure 13, a part of the road surface of the stop region 310 is determined as a stop position P ST In the case of (a), the target track generation unit 144 generates a stop position P on the road surface, which is reached from the current position of the host vehicle M ST The second control unit 160 controls the speed and the steering of the vehicle M based on the target track. Thus, as shown in fig. 14, the host vehicle M moves to a position where the line of sight of the occupant OP is projected.
According to the second embodiment described above, when the road surface of the stop region 310 is present at the projection of the line of sight V of the occupant OP, a part of the road surface of the stop region 310 is determined as the stop position P ST Therefore, the host vehicle M can be remotely controlled based on the action of the face of the occupant located outside the vehicle, as in the first embodiment.
< other embodiments >
Hereinafter, another embodiment (modification) will be described. In the first embodiment or the second embodiment described above, the following is explained: when the host vehicle M is moved from the parking lot PA to the stop area 310 facing the boarding and alighting area 320 connected to the access destination facility by automatic driving so as to park in place of the passenger, the stop position determination unit 146 determines the stop position P of the host vehicle M based on the line of sight of the passenger OP waiting in the boarding and alighting area 320 ST But is not limited thereto. For example, the stop position determining unit 146 may determine the stop position P at which the vehicle M is stopped on the road based on the line of sight of the occupant OP when the occupant OP waits on the road shoulder of the road ST
[ hardware Structure ]
Fig. 15 is a diagram showing an example of a hardware configuration of the automatic drive control device 100 according to the embodiment. As shown in the figure, the automatic driving control device 100 is configured such that a communication controller 100-1, a CPU100-2, a RAM100-3 used as a working memory, a ROM100-4 storing a boot program or the like, a storage device 100-5 such as a flash memory or an HDD, a driving device 100-6, and the like are connected to each other via an internal bus or a dedicated communication line. The communication controller 100-1 communicates with components other than the automatic driving control device 100. The program 100-5a executed by the CPU100-2 is stored in the storage device 100-5. The program is developed in the RAM100-3 by a DMA (Direct Memory Access) controller (not shown) or the like and executed by the CPU 100-2. This can realize a part or all of the first control unit 120 and the second control unit 160.
The embodiments described above can be expressed as follows.
A vehicle control device is provided with:
A memory storing a program;
the processor may be configured to perform the steps of,
executing the program by the processor performs the following processing:
an act of recognizing a face of a user existing outside the vehicle;
determining a stop position of the vehicle based on the recognized action of the face; and
at least the speed of the vehicle is controlled to stop the vehicle at the determined stop position.
While the specific embodiments of the present invention have been described above using the embodiments, the present invention is not limited to the embodiments, and various modifications and substitutions can be made without departing from the scope of the present invention.

Claims (7)

1. A vehicle control device is provided with:
a recognition unit that recognizes the motion of a user's face existing outside the vehicle;
a determination unit that determines a stop position of the vehicle based on the motion of the face recognized by the recognition unit; and
a driving control unit that controls at least a speed of the vehicle to stop the vehicle at the stop position determined by the determination unit,
the vehicle is provided with a luggage room and at least two rows of seats arranged in the traveling direction,
The recognition unit recognizes the line of sight of the user as an action of the face,
the determination unit determines, as the stop position, any one of a first position, in which the user is positioned closest to the first row of seats, a second position, in which the user is positioned closest to the second row of seats, and a third position, in which the user is positioned closest to the luggage room, based on the line of sight identified by the identification unit.
2. The vehicle control apparatus according to claim 1, wherein,
the determination unit does not change the stop position when the first posture is recognized by the recognition unit after the vehicle moves to the stop position, and the determination unit determines the stop position again when the second posture different from the first posture is recognized by the recognition unit after the vehicle moves to the stop position.
3. The vehicle control apparatus according to claim 2, wherein,
the first gesture is an action of the user agreeing to the stop position,
the second gesture is an action that the user does not agree with the stop position.
4. The vehicle control apparatus according to claim 2 or 3, wherein,
the determination unit determines the stop position again based on the line of sight recognized by the recognition unit when the second gesture is recognized by the recognition unit.
5. The vehicle control apparatus according to claim 2 or 3, wherein,
the driving control unit moves the vehicle to the newly determined stop position when the stop position is newly determined by the determining unit.
6. A vehicle control method performs the following processing by an on-board computer:
recognizing the action of the face of the user existing outside the vehicle;
determining a stop position of the vehicle based on the recognized motion of the face; and
controlling at least the speed of the vehicle, stopping the vehicle at the stop position,
the vehicle is provided with a luggage room and at least two rows of seats arranged in the traveling direction,
the user's line of sight is identified as an action of the face,
and determining, as the stop position, any one of a first position, a second position, and a third position based on the recognized line of sight, wherein the first position is a position at which the user is closest to the first row of seats, the second position is a position at which the user is closest to the second row of seats, and the third position is a position at which the user is closest to the luggage room.
7. A storage medium storing a computer-readable program for causing a vehicle-mounted computer to:
recognizing the action of the face of the user existing outside the vehicle;
determining a stop position of the vehicle based on the recognized motion of the face; and
controlling at least the speed of the vehicle, stopping the vehicle at the stop position,
the vehicle is provided with a luggage room and at least two rows of seats arranged in the traveling direction,
the user's line of sight is identified as an action of the face,
and determining, as the stop position, any one of a first position, a second position, and a third position based on the recognized line of sight, wherein the first position is a position at which the user is closest to the first row of seats, the second position is a position at which the user is closest to the second row of seats, and the third position is a position at which the user is closest to the luggage room.
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